This class will teach you the fundamentals of augmented reality (AR), and how to build an AR experience using ARCore. Through the four week course, you'll learn:
- How to identify different types of AR experiences
- Tools and platforms used in the AR landscape
- What makes AR feel "real"
- Popular use cases for AR
- How to create an AR use flow
- How AR experiences work
- Tools like Google Poly and Unity to build AR experiences
- Next steps to start building an AR experience using ARCore and other tools
This course will break down complex AR concepts to make them easy to understand, while also sharing expert tips and knowledge from Daydream's ARCore team. The course is great for beginners who are just getting started with AR or ARCore.

审阅

V

Really very good course to understand the fundamental knowledge of the AR, helps in gaining the basics concepts, knowledge and motivates towards building killer Apps.

AW

Oct 02, 2018

Filled StarFilled StarFilled StarFilled StarFilled Star

Great introductory course and content. If you work in this field at all, you'll probably know all the content already, but for those who don't it's a great overview.

从本节课中

The basics of AR functionality

In this module we’ll dive into the hardware components inside mobile devices that power augmented reality, and you'll discover ways in which AR assets can feel real and keep users immersed. You'll learn about ARCore features that help make a digital object behave as though it exists in a real world space, as well as a few constraints facing AR today.

教学方

Google AR & VR

脚本

Have you ever noticed how your phone screen automatically dims or brightens depending on where your standing. It happens because many smartphones have a light sensor. Light sensors allow for features on a phone like brightness management and automatic screen lock when the phone rises to your ear. Current AR technology only allows you to make a global estimate of the lighting, such as brightness, color and temperature. The way ARCore uses light estimation is by scanning the camera images pixels to determine an average of incoming light. Which helps to decide how to best light an AR object inside of a specific environment. Light and shadows are a big part of helping your eyes see an object is real. If you've ever been able to tell that actors in a film are standing in front of a green screen rather than in a depicted environment, that's because the lighting is incorrectly matched, and your brain can tell. Light estimation is another way AR core allows users to create more believable AR apps, games and experiences.